Laboratory Rotations & Research
Course Information
The courses listed below are required in the Health and Pharmaceutical Outcomes program track.
Application of scientific, ethical and methodological principles to the investigation of research questions regarding health and health care delivery.
Basic concepts and principles of epidemiology and how these concepts are applicable for their own particular interests and careers in epi related fields.
This course will increase the student's understanding of research methods in epidemiology and provide practice for the epidemiology student to design research studies and review other epidemiologic research designs.
Biostatistical methods and applications. Descriptive statistics, probability theory and a wide variety of inferential statistical techniques that can be used to make practical conclusions about empirical data.
Descriptive statistics and statistical inference relevant to biomedical research, including data analysis, regression and correlation analysis, analysis of variance, survival analysis, biological assay, statistical methods for epidemiology and statistical evaluation of clinical literature.
Overview of methods in health technology assessment, including cost-benefit, cost-effectiveness and cost-utility analysis. Emphasis on current controversies in technology assessment.
Application of the methodologies and tools used in the assessment of health technologies. Application of decision analytic tools and techniques such as cost-effectiveness, cost-benefit and cost-utility analysis.
Survey of the theory, measurement, and applications of patient-reported health outcomes, specifically health-related quality of life and consumer assessments of health care.
The development and exchange of scholarly information in a small group setting.
Use of existing/retrospective datasets is widespread in the field of healthcare. Several different types of healthcare datasets (such as national survey datasets, claims datasets, and electronic health records dataset) are used extensively by researchers and healthcare providers. The Healthcare Data Analysis course is an elective for graduate students in the Health Pharmaceutical Outcome (HPO) Program in the College of Pharmacy, University of Arizona. The purpose of this course is to help graduate students learn how to handle existing datasets to answer novel and interesting research questions. Students will be working independently on different projects and is expected to write-up a final manuscript for submission to a high quality peer-reviewed journal.
This course will discuss and explore the of intricacies of policy analysis in a context of competing ethics, values, and powers. Students will learn to critically appraise policy analyses. Students will be trained to recognize stakeholder sensitivities, perceptions, and views.
Students will also take elective courses, independent study, and research credits as part of their plan of study. Students in the PhD program must also undertake a minor.
The graduate programs in Health and Pharmaceutical Outcomes require that, prior to the selection of a major adviser, the student become familiar with the research interests of the faculty. Students should meet individually with the faculty whose research is of particular interest or potential interest. Additional familiarity is gained through research and class projects.
After these preliminary meetings, the student decides with whom he/she would like to do his/her research. After consultation with and agreement of the faculty member, the student must communicate this decision to the program track director before the end of the Spring Semester during the first year.